Profiling Report

Dataset statistics

Number of variables	27
Number of observations	203
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	42.9 KiB
Average record size in memory	216.7 B

Variable types

Numeric	16
Categorical	11

Alerts

`modele` has a high cardinality: 140 distinct values	High cardinality
`car_ID` is highly overall correlated with `marque`	High correlation
`niveau_risque_assurance` is highly overall correlated with `empattement(cm)` and 2 other fields	High correlation
`empattement(cm)` is highly overall correlated with `niveau_risque_assurance` and 11 other fields	High correlation
`longueur_voiture(cm)` is highly overall correlated with `empattement(cm)` and 9 other fields	High correlation
`largeur_voiture(cm)` is highly overall correlated with `empattement(cm)` and 10 other fields	High correlation
`hauteur_voiture(cm)` is highly overall correlated with `niveau_risque_assurance` and 3 other fields	High correlation
`poids_vehicule(kg)` is highly overall correlated with `empattement(cm)` and 8 other fields	High correlation
`taille_moteur` is highly overall correlated with `empattement(cm)` and 12 other fields	High correlation
`taux_alésage(cm)` is highly overall correlated with `empattement(cm)` and 9 other fields	High correlation
`course_piston(cm)` is highly overall correlated with `emplacement_moteur` and 1 other fields	High correlation
`taux_compression` is highly overall correlated with `carburant` and 3 other fields	High correlation
`chevaux` is highly overall correlated with `empattement(cm)` and 11 other fields	High correlation
`tour_moteur` is highly overall correlated with `carburant`	High correlation
`consommation_ville(L/100km)` is highly overall correlated with `longueur_voiture(cm)` and 7 other fields	High correlation
`consommation_autoroute(L/100km)` is highly overall correlated with `empattement(cm)` and 9 other fields	High correlation
`prix` is highly overall correlated with `empattement(cm)` and 8 other fields	High correlation
`carburant` is highly overall correlated with `taux_compression` and 2 other fields	High correlation
`turbo` is highly overall correlated with `taux_compression` and 1 other fields	High correlation
`nombre_portes` is highly overall correlated with `niveau_risque_assurance` and 2 other fields	High correlation
`type_vehicule` is highly overall correlated with `nombre_portes`	High correlation
`roues_motrices` is highly overall correlated with `marque`	High correlation
`emplacement_moteur` is highly overall correlated with `empattement(cm)` and 4 other fields	High correlation
`type_moteur` is highly overall correlated with `taille_moteur` and 3 other fields	High correlation
`nombre_cylindres` is highly overall correlated with `largeur_voiture(cm)` and 6 other fields	High correlation
`systeme_carburant` is highly overall correlated with `taux_compression` and 3 other fields	High correlation
`marque` is highly overall correlated with `car_ID` and 10 other fields	High correlation
`carburant` is highly imbalanced (53.6%)	Imbalance
`emplacement_moteur` is highly imbalanced (88.9%)	Imbalance
`nombre_cylindres` is highly imbalanced (57.3%)	Imbalance
`car_ID` is uniformly distributed	Uniform
`modele` is uniformly distributed	Uniform
`car_ID` has unique values	Unique
`niveau_risque_assurance` has 66 (32.5%) zeros	Zeros

Reproduction

Analysis started	2023-04-26 08:18:43.444612
Analysis finished	2023-04-26 08:19:19.360707
Duration	35.92 seconds
Software version	ydata-profiling vv4.1.2
Download configuration	config.json

car_ID
Real number (ℝ)

HIGH CORRELATION UNIFORM UNIQUE

Distinct	203
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	102.63054

Minimum	1
Maximum	205
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	1
5-th percentile	11.1
Q1	51.5
median	102
Q3	154.5
95-th percentile	194.9
Maximum	205
Range	204
Interquartile range (IQR)	103

Descriptive statistics

Standard deviation	59.497287
Coefficient of variation (CV)	0.57972302
Kurtosis	-1.204884
Mean	102.63054
Median Absolute Deviation (MAD)	52
Skewness	0.016298887
Sum	20834
Variance	3539.9272
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.5%
141	1	0.5%
130	1	0.5%
131	1	0.5%
132	1	0.5%
133	1	0.5%
134	1	0.5%
135	1	0.5%
136	1	0.5%
137	1	0.5%
Other values (193)	193	95.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.5%
2	1	0.5%
3	1	0.5%
4	1	0.5%
5	1	0.5%
6	1	0.5%
7	1	0.5%
8	1	0.5%
9	1	0.5%
10	1	0.5%

Value	Count	Frequency (%)
205	1	0.5%
204	1	0.5%
203	1	0.5%
202	1	0.5%
201	1	0.5%
200	1	0.5%
199	1	0.5%
198	1	0.5%
197	1	0.5%
196	1	0.5%

niveau_risque_assurance
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.83251232

Minimum	-2
Maximum	3
Zeros	66
Zeros (%)	32.5%
Negative	25
Negative (%)	12.3%
Memory size	1.7 KiB

Quantile statistics

Minimum	-2
5-th percentile	-1
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	3
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2473842
Coefficient of variation (CV)	1.4983373
Kurtosis	-0.67225171
Mean	0.83251232
Median Absolute Deviation (MAD)	1
Skewness	0.2135015
Sum	169
Variance	1.5559674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	66	32.5%
1	54	26.6%
2	31	15.3%
3	27	13.3%
-1	22	10.8%
-2	3	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2	3	1.5%
-1	22	10.8%
0	66	32.5%
1	54	26.6%
2	31	15.3%
3	27	13.3%

Value	Count	Frequency (%)
3	27	13.3%
2	31	15.3%
1	54	26.6%
0	66	32.5%
-1	22	10.8%
-2	3	1.5%

carburant
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

gas	183
diesel	20

Length

Max length	6
Median length	3
Mean length	3.2955665
Min length	3

Characters and Unicode

Total characters	669
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	gas
2nd row	gas
3rd row	gas
4th row	gas
5th row	gas

Common Values

Value	Count	Frequency (%)
gas	183	90.1%
diesel	20	9.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gas	183	90.1%
diesel	20	9.9%

Most occurring characters

Value	Count	Frequency (%)
s	203	30.3%
g	183	27.4%
a	183	27.4%
e	40	6.0%
d	20	3.0%
i	20	3.0%
l	20	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	669	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	203	30.3%
g	183	27.4%
a	183	27.4%
e	40	6.0%
d	20	3.0%
i	20	3.0%
l	20	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	669	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	203	30.3%
g	183	27.4%
a	183	27.4%
e	40	6.0%
d	20	3.0%
i	20	3.0%
l	20	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	669	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	203	30.3%
g	183	27.4%
a	183	27.4%
e	40	6.0%
d	20	3.0%
i	20	3.0%
l	20	3.0%

turbo
Categorical

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

std	166
turbo	37

Length

Max length	5
Median length	3
Mean length	3.364532
Min length	3

Characters and Unicode

Total characters	683
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	std
2nd row	std
3rd row	std
4th row	std
5th row	std

Common Values

Value	Count	Frequency (%)
std	166	81.8%
turbo	37	18.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
std	166	81.8%
turbo	37	18.2%

Most occurring characters

Value	Count	Frequency (%)
t	203	29.7%
s	166	24.3%
d	166	24.3%
u	37	5.4%
r	37	5.4%
b	37	5.4%
o	37	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	683	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	203	29.7%
s	166	24.3%
d	166	24.3%
u	37	5.4%
r	37	5.4%
b	37	5.4%
o	37	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	683	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	203	29.7%
s	166	24.3%
d	166	24.3%
u	37	5.4%
r	37	5.4%
b	37	5.4%
o	37	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	683	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	203	29.7%
s	166	24.3%
d	166	24.3%
u	37	5.4%
r	37	5.4%
b	37	5.4%
o	37	5.4%

nombre_portes
Categorical

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

four	114
two	89

Length

Max length	4
Median length	4
Mean length	3.5615764
Min length	3

Characters and Unicode

Total characters	723
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	two
2nd row	two
3rd row	two
4th row	four
5th row	four

Common Values

Value	Count	Frequency (%)
four	114	56.2%
two	89	43.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
four	114	56.2%
two	89	43.8%

Most occurring characters

Value	Count	Frequency (%)
o	203	28.1%
f	114	15.8%
u	114	15.8%
r	114	15.8%
t	89	12.3%
w	89	12.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	723	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	203	28.1%
f	114	15.8%
u	114	15.8%
r	114	15.8%
t	89	12.3%
w	89	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	723	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	203	28.1%
f	114	15.8%
u	114	15.8%
r	114	15.8%
t	89	12.3%
w	89	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	723	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	203	28.1%
f	114	15.8%
u	114	15.8%
r	114	15.8%
t	89	12.3%
w	89	12.3%

type_vehicule
Categorical

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

berline	95
hayon	69
break	25
coupé	8
décapotable	6

Length

Max length	11
Median length	5
Mean length	6.1133005
Min length	5

Characters and Unicode

Total characters	1241
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	décapotable
2nd row	décapotable
3rd row	hayon
4th row	berline
5th row	berline

Common Values

Value	Count	Frequency (%)
berline	95	46.8%
hayon	69	34.0%
break	25	12.3%
coupé	8	3.9%
décapotable	6	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
berline	95	46.8%
hayon	69	34.0%
break	25	12.3%
coupé	8	3.9%
décapotable	6	3.0%

Most occurring characters

Value	Count	Frequency (%)
e	221	17.8%
n	164	13.2%
b	126	10.2%
r	120	9.7%
a	106	8.5%
l	101	8.1%
i	95	7.7%
o	83	6.7%
y	69	5.6%
h	69	5.6%
Other values (7)	87	7.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1241	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	221	17.8%
n	164	13.2%
b	126	10.2%
r	120	9.7%
a	106	8.5%
l	101	8.1%
i	95	7.7%
o	83	6.7%
y	69	5.6%
h	69	5.6%
Other values (7)	87	7.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1241	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	221	17.8%
n	164	13.2%
b	126	10.2%
r	120	9.7%
a	106	8.5%
l	101	8.1%
i	95	7.7%
o	83	6.7%
y	69	5.6%
h	69	5.6%
Other values (7)	87	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1227	98.9%
None	14	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	221	18.0%
n	164	13.4%
b	126	10.3%
r	120	9.8%
a	106	8.6%
l	101	8.2%
i	95	7.7%
o	83	6.8%
y	69	5.6%
h	69	5.6%
Other values (6)	73	5.9%

None

Value	Count	Frequency (%)
é	14	100.0%

roues_motrices
Categorical

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

traction	118
propulsion	76
quatre_roues_motrices	9

Length

Max length	21
Median length	8
Mean length	9.3251232
Min length	8

Characters and Unicode

Total characters	1893
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	propulsion
2nd row	propulsion
3rd row	propulsion
4th row	traction
5th row	quatre_roues_motrices

Common Values

Value	Count	Frequency (%)
traction	118	58.1%
propulsion	76	37.4%
quatre_roues_motrices	9	4.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
traction	118	58.1%
propulsion	76	37.4%
quatre_roues_motrices	9	4.4%

Most occurring characters

Value	Count	Frequency (%)
o	288	15.2%
t	254	13.4%
r	221	11.7%
i	203	10.7%
n	194	10.2%
p	152	8.0%
a	127	6.7%
c	127	6.7%
u	94	5.0%
s	94	5.0%
Other values (5)	139	7.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1875	99.0%
Connector Punctuation	18	1.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	288	15.4%
t	254	13.5%
r	221	11.8%
i	203	10.8%
n	194	10.3%
p	152	8.1%
a	127	6.8%
c	127	6.8%
u	94	5.0%
s	94	5.0%
Other values (4)	121	6.5%

Connector Punctuation

Value	Count	Frequency (%)
_	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1875	99.0%
Common	18	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	288	15.4%
t	254	13.5%
r	221	11.8%
i	203	10.8%
n	194	10.3%
p	152	8.1%
a	127	6.8%
c	127	6.8%
u	94	5.0%
s	94	5.0%
Other values (4)	121	6.5%

Common

Value	Count	Frequency (%)
_	18	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1893	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	288	15.2%
t	254	13.4%
r	221	11.7%
i	203	10.7%
n	194	10.2%
p	152	8.0%
a	127	6.7%
c	127	6.7%
u	94	5.0%
s	94	5.0%
Other values (5)	139	7.3%

emplacement_moteur
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

front	200
rear	3

Length

Max length	5
Median length	5
Mean length	4.9852217
Min length	4

Characters and Unicode

Total characters	1012
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	front
2nd row	front
3rd row	front
4th row	front
5th row	front

Common Values

Value	Count	Frequency (%)
front	200	98.5%
rear	3	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
front	200	98.5%
rear	3	1.5%

Most occurring characters

Value	Count	Frequency (%)
r	206	20.4%
f	200	19.8%
o	200	19.8%
n	200	19.8%
t	200	19.8%
e	3	0.3%
a	3	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1012	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	206	20.4%
f	200	19.8%
o	200	19.8%
n	200	19.8%
t	200	19.8%
e	3	0.3%
a	3	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1012	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	206	20.4%
f	200	19.8%
o	200	19.8%
n	200	19.8%
t	200	19.8%
e	3	0.3%
a	3	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1012	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	206	20.4%
f	200	19.8%
o	200	19.8%
n	200	19.8%
t	200	19.8%
e	3	0.3%
a	3	0.3%

empattement(cm)
Real number (ℝ)

Distinct	53
Distinct (%)	26.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	250.92118

Minimum	220
Maximum	307.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	220
5-th percentile	236.23
Q1	240
median	246.4
Q3	260.1
95-th percentile	279.4
Maximum	307.1
Range	87.1
Interquartile range (IQR)	20.1

Descriptive statistics

Standard deviation	15.343112
Coefficient of variation (CV)	0.061147137
Kurtosis	0.98481743
Mean	250.92118
Median Absolute Deviation (MAD)	6.9
Skewness	1.0382006
Sum	50937
Variance	235.41108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
240	21	10.3%
238	19	9.4%
243.1	13	6.4%
245.1	8	3.9%
249.9	7	3.4%
247.1	7	3.4%
251	6	3.0%
244.6	6	3.0%
251.7	6	3.0%
274.1	6	3.0%
Other values (43)	104	51.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
220	2	1.0%
224.5	1	0.5%
225	2	1.0%
227.3	3	1.5%
231.9	2	1.0%
236.2	1	0.5%
236.5	5	2.5%
237	1	0.5%
238	19	9.4%
239.5	1	0.5%

Value	Count	Frequency (%)
307.1	1	0.5%
293.6	2	1.0%
290.1	4	2.0%
287	2	1.0%
284.5	1	0.5%
279.4	3	1.5%
277.1	5	2.5%
274.3	1	0.5%
274.1	6	3.0%
271	1	0.5%

longueur_voiture(cm)
Real number (ℝ)

Distinct	74
Distinct (%)	36.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	442.32463

Minimum	358.4
Maximum	528.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	358.4
5-th percentile	399.5
Q1	423.05
median	439.9
Q3	465.6
95-th percentile	499.59
Maximum	528.6
Range	170.2
Interquartile range (IQR)	42.55

Descriptive statistics

Standard deviation	31.347852
Coefficient of variation (CV)	0.07087069
Kurtosis	-0.079096131
Mean	442.32463
Median Absolute Deviation (MAD)	17.5
Skewness	0.14808281
Sum	89791.9
Variance	982.68781
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
399.5	15	7.4%
479.6	11	5.4%
436.1	7	3.4%
474.2	7	3.4%
422.4	7	3.4%
419.9	6	3.0%
451.6	6	3.0%
447.5	6	3.0%
474	6	3.0%
449.1	5	2.5%
Other values (64)	127	62.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
358.4	1	0.5%
367.3	2	1.0%
381	3	1.5%
396	3	1.5%
399	1	0.5%
399.5	15	7.4%
401.1	1	0.5%
403.1	3	1.5%
403.4	1	0.5%
404.1	3	1.5%

Value	Count	Frequency (%)
528.6	1	0.5%
514.6	2	1.0%
507	2	1.0%
506	1	0.5%
505.2	4	2.0%
500.4	1	0.5%
492.3	1	0.5%
489.5	3	1.5%
486.9	1	0.5%
484.9	2	1.0%

largeur_voiture(cm)
Real number (ℝ)

Distinct	43
Distinct (%)	21.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167.45025

Minimum	153.2
Maximum	183.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	153.2
5-th percentile	161.5
Q1	162.8
median	166.4
Q3	169.9
95-th percentile	179.05
Maximum	183.6
Range	30.4
Interquartile range (IQR)	7.1

Descriptive statistics

Standard deviation	5.4506006
Coefficient of variation (CV)	0.032550568
Kurtosis	0.69436052
Mean	167.45025
Median Absolute Deviation (MAD)	3.5
Skewness	0.90163952
Sum	33992.4
Variance	29.709047
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
162.1	24	11.8%
168.9	23	11.3%
166.1	14	6.9%
161.5	11	5.4%
173.7	10	4.9%
163.6	10	4.9%
162.6	9	4.4%
166.4	8	3.9%
165.6	7	3.4%
166.6	6	3.0%
Other values (33)	81	39.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
153.2	1	0.5%
157	1	0.5%
158.8	1	0.5%
161.5	11	5.4%
162.1	24	11.8%
162.3	3	1.5%
162.6	9	4.4%
162.8	2	1.0%
163.1	6	3.0%
163.6	10	4.9%

Value	Count	Frequency (%)
183.6	1	0.5%
182.9	1	0.5%
182.1	3	1.5%
181.4	3	1.5%
180.1	1	0.5%
179.3	1	0.5%
179.1	1	0.5%
178.6	3	1.5%
176.8	2	1.0%
175	4	2.0%

hauteur_voiture(cm)
Real number (ℝ)

Distinct	49
Distinct (%)	24.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	136.47389

Minimum	121.4
Maximum	151.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	121.4
5-th percentile	126.2
Q1	132.1
median	137.4
Q3	141
95-th percentile	146
Maximum	151.9
Range	30.5
Interquartile range (IQR)	8.9

Descriptive statistics

Standard deviation	6.2320283
Coefficient of variation (CV)	0.045664619
Kurtosis	-0.46343206
Mean	136.47389
Median Absolute Deviation (MAD)	4.1
Skewness	0.05588914
Sum	27704.2
Variance	38.838176
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
129	14	6.9%
141.5	12	5.9%
132.1	12	5.9%
138.4	10	4.9%
137.4	10	4.9%
141	9	4.4%
137.9	8	3.9%
144	8	3.9%
142.5	7	3.4%
133.6	7	3.4%
Other values (39)	106	52.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
121.4	1	0.5%
124	2	1.0%
125.5	2	1.0%
126	4	2.0%
126.2	3	1.5%
127.5	6	3.0%
128.3	2	1.0%
128.5	5	2.5%
129	14	6.9%
129.5	1	0.5%

Value	Count	Frequency (%)
151.9	2	1.0%
150.1	3	1.5%
149.1	4	2.0%
148.1	1	0.5%
146	3	1.5%
144	8	3.9%
143.5	2	1.0%
143	2	1.0%
142.7	3	1.5%
142.5	7	3.4%

poids_vehicule(kg)
Real number (ℝ)

Distinct	170
Distinct (%)	83.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1161.2286

Minimum	674.9
Maximum	1844.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	674.9
5-th percentile	862.03
Q1	988.6
median	1097.7
Q3	1335.15
95-th percentile	1589.35
Maximum	1844.3
Range	1169.4
Interquartile range (IQR)	346.55

Descriptive statistics

Standard deviation	236.42286
Coefficient of variation (CV)	0.20359718
Kurtosis	-0.055777182
Mean	1161.2286
Median Absolute Deviation (MAD)	177.3
Skewness	0.66680499
Sum	235729.4
Variance	55895.768
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1081.8	4	2.0%
902.2	3	1.5%
870	3	1.5%
1031.9	3	1.5%
1155.8	2	1.0%
993.8	2	1.0%
1149.9	2	1.0%
918.1	2	1.0%
1095	2	1.0%
1844.3	2	1.0%
Other values (160)	178	87.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
674.9	1	0.5%
777	1	0.5%
825.1	1	0.5%
833.2	1	0.5%
850	2	1.0%
850.9	2	1.0%
856.8	1	0.5%
857.3	1	0.5%
861.8	1	0.5%
864.1	1	0.5%

Value	Count	Frequency (%)
1844.3	2	1.0%
1791.7	1	0.5%
1769	1	0.5%
1710	1	0.5%
1701	1	0.5%
1696.4	1	0.5%
1685.1	1	0.5%
1671.5	1	0.5%
1594.4	1	0.5%
1589.8	1	0.5%

type_moteur
Categorical

Distinct	7
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

ohc	148
ohcv	13
ohcf	13
dohc	12
l	12
Other values (2)	5

Length

Max length	5
Median length	3
Mean length	3.1182266
Min length	1

Characters and Unicode

Total characters	633
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	dohc
2nd row	dohc
3rd row	ohcv
4th row	ohc
5th row	ohc

Common Values

Value	Count	Frequency (%)
ohc	148	72.9%
ohcv	13	6.4%
ohcf	13	6.4%
dohc	12	5.9%
l	12	5.9%
rotor	4	2.0%
dohcv	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ohc	148	72.9%
ohcv	13	6.4%
ohcf	13	6.4%
dohc	12	5.9%
l	12	5.9%
rotor	4	2.0%
dohcv	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
o	195	30.8%
h	187	29.5%
c	187	29.5%
v	14	2.2%
f	13	2.1%
d	13	2.1%
l	12	1.9%
r	8	1.3%
t	4	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	633	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	195	30.8%
h	187	29.5%
c	187	29.5%
v	14	2.2%
f	13	2.1%
d	13	2.1%
l	12	1.9%
r	8	1.3%
t	4	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	633	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	195	30.8%
h	187	29.5%
c	187	29.5%
v	14	2.2%
f	13	2.1%
d	13	2.1%
l	12	1.9%
r	8	1.3%
t	4	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	633	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	195	30.8%
h	187	29.5%
c	187	29.5%
v	14	2.2%
f	13	2.1%
d	13	2.1%
l	12	1.9%
r	8	1.3%
t	4	0.6%

nombre_cylindres
Categorical

HIGH CORRELATION IMBALANCE

Distinct	7
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

four	157
six	24
five	11
eight	5
two	4
Other values (2)	2

Length

Max length	6
Median length	4
Mean length	3.9014778
Min length	3

Characters and Unicode

Total characters	792
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.0%

Sample

1st row	four
2nd row	four
3rd row	six
4th row	four
5th row	five

Common Values

Value	Count	Frequency (%)
four	157	77.3%
six	24	11.8%
five	11	5.4%
eight	5	2.5%
two	4	2.0%
three	1	0.5%
twelve	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
four	157	77.3%
six	24	11.8%
five	11	5.4%
eight	5	2.5%
two	4	2.0%
three	1	0.5%
twelve	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
f	168	21.2%
o	161	20.3%
r	158	19.9%
u	157	19.8%
i	40	5.1%
s	24	3.0%
x	24	3.0%
e	20	2.5%
v	12	1.5%
t	11	1.4%
Other values (4)	17	2.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	792	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	168	21.2%
o	161	20.3%
r	158	19.9%
u	157	19.8%
i	40	5.1%
s	24	3.0%
x	24	3.0%
e	20	2.5%
v	12	1.5%
t	11	1.4%
Other values (4)	17	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	792	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	168	21.2%
o	161	20.3%
r	158	19.9%
u	157	19.8%
i	40	5.1%
s	24	3.0%
x	24	3.0%
e	20	2.5%
v	12	1.5%
t	11	1.4%
Other values (4)	17	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	792	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	168	21.2%
o	161	20.3%
r	158	19.9%
u	157	19.8%
i	40	5.1%
s	24	3.0%
x	24	3.0%
e	20	2.5%
v	12	1.5%
t	11	1.4%
Other values (4)	17	2.1%

taille_moteur
Real number (ℝ)

Distinct	44
Distinct (%)	21.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.14778

Minimum	61
Maximum	326
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	61
5-th percentile	90
Q1	97.5
median	120
Q3	143
95-th percentile	202.1
Maximum	326
Range	265
Interquartile range (IQR)	45.5

Descriptive statistics

Standard deviation	41.773527
Coefficient of variation (CV)	0.3285431
Kurtosis	5.2380141
Mean	127.14778
Median Absolute Deviation (MAD)	23
Skewness	1.9335616
Sum	25811
Variance	1745.0276
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
122	15	7.4%
92	15	7.4%
98	14	6.9%
97	13	6.4%
90	12	5.9%
108	12	5.9%
110	12	5.9%
109	8	3.9%
120	7	3.4%
141	7	3.4%
Other values (34)	88	43.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
61	1	0.5%
70	3	1.5%
79	1	0.5%
80	1	0.5%
90	12	5.9%
91	5	2.5%
92	15	7.4%
97	13	6.4%
98	14	6.9%
103	1	0.5%

Value	Count	Frequency (%)
326	1	0.5%
308	1	0.5%
304	1	0.5%
258	2	1.0%
234	2	1.0%
209	3	1.5%
203	1	0.5%
194	3	1.5%
183	4	2.0%
181	6	3.0%

systeme_carburant
Categorical

Distinct	8
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

mpfi	94
2bbl	64
idi	20
1bbl	11
spdi	9
Other values (3)	5

Length

Max length	4
Median length	4
Mean length	3.8965517
Min length	3

Characters and Unicode

Total characters	791
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.0%

Sample

1st row	mpfi
2nd row	mpfi
3rd row	mpfi
4th row	mpfi
5th row	mpfi

Common Values

Value	Count	Frequency (%)
mpfi	94	46.3%
2bbl	64	31.5%
idi	20	9.9%
1bbl	11	5.4%
spdi	9	4.4%
4bbl	3	1.5%
mfi	1	0.5%
spfi	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mpfi	94	46.3%
2bbl	64	31.5%
idi	20	9.9%
1bbl	11	5.4%
spdi	9	4.4%
4bbl	3	1.5%
mfi	1	0.5%
spfi	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
b	156	19.7%
i	145	18.3%
p	104	13.1%
f	96	12.1%
m	95	12.0%
l	78	9.9%
2	64	8.1%
d	29	3.7%
1	11	1.4%
s	10	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	713	90.1%
Decimal Number	78	9.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
b	156	21.9%
i	145	20.3%
p	104	14.6%
f	96	13.5%
m	95	13.3%
l	78	10.9%
d	29	4.1%
s	10	1.4%

Decimal Number

Value	Count	Frequency (%)
2	64	82.1%
1	11	14.1%
4	3	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	713	90.1%
Common	78	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
b	156	21.9%
i	145	20.3%
p	104	14.6%
f	96	13.5%
m	95	13.3%
l	78	10.9%
d	29	4.1%
s	10	1.4%

Common

Value	Count	Frequency (%)
2	64	82.1%
1	11	14.1%
4	3	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	791	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
b	156	19.7%
i	145	18.3%
p	104	13.1%
f	96	12.1%
m	95	12.0%
l	78	9.9%
2	64	8.1%
d	29	3.7%
1	11	1.4%
s	10	1.3%

taux_alésage(cm)
Real number (ℝ)

Distinct	25
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.4477833

Minimum	6.5
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	6.5
5-th percentile	7.5
Q1	8
median	8.4
Q3	9.1
95-th percentile	9.6
Maximum	10
Range	3.5
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	0.69377181
Coefficient of variation (CV)	0.082124717
Kurtosis	-0.80976417
Mean	8.4477833
Median Absolute Deviation (MAD)	0.6
Skewness	0.037693008
Sum	1714.9
Variance	0.48131932
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
9.2	24	11.8%
8.1	23	11.3%
7.7	18	8.9%
8	17	8.4%
7.5	12	5.9%
8.8	11	5.4%
8.5	11	5.4%
9.1	10	4.9%
9.6	9	4.4%
8.7	8	3.9%
Other values (15)	60	29.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.5	1	0.5%
6.8	1	0.5%
7.4	8	3.9%
7.5	12	5.9%
7.6	6	3.0%
7.7	18	8.9%
7.8	1	0.5%
8	17	8.4%
8.1	23	11.3%
8.2	2	1.0%

Value	Count	Frequency (%)
10	2	1.0%
9.7	2	1.0%
9.6	9	4.4%
9.5	3	1.5%
9.4	5	2.5%
9.2	24	11.8%
9.1	10	4.9%
9	6	3.0%
8.9	2	1.0%
8.8	11	5.4%

course_piston(cm)
Real number (ℝ)

Distinct	27
Distinct (%)	13.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.2857143

Minimum	5.3
Maximum	10.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	5.3
5-th percentile	6.7
Q1	7.9
median	8.4
Q3	8.7
95-th percentile	9.2
Maximum	10.6
Range	5.3
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	0.77174282
Coefficient of variation (CV)	0.093141375
Kurtosis	2.3784789
Mean	8.2857143
Median Absolute Deviation (MAD)	0.4
Skewness	-0.64595557
Sum	1682
Variance	0.59558699
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
8.6	33	16.3%
8.2	15	7.4%
8	15	7.4%
7.7	14	6.9%
8.8	12	5.9%
8.9	11	5.4%
6.7	10	4.9%
8.3	10	4.9%
8.4	9	4.4%
8.5	9	4.4%
Other values (17)	65	32.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.3	1	0.5%
5.6	2	1.0%
6.7	10	4.9%
6.8	2	1.0%
7	1	0.5%
7.1	2	1.0%
7.3	1	0.5%
7.4	3	1.5%
7.7	14	6.9%
7.8	8	3.9%

Value	Count	Frequency (%)
10.6	2	1.0%
9.9	3	1.5%
9.8	4	2.0%
9.2	5	2.5%
9.1	6	3.0%
9	4	2.0%
8.9	11	5.4%
8.8	12	5.9%
8.7	6	3.0%
8.6	33	16.3%

taux_compression
Real number (ℝ)

Distinct	32
Distinct (%)	15.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.15133

Minimum	7
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	7
5-th percentile	7.5
Q1	8.55
median	9
Q3	9.4
95-th percentile	21.86
Maximum	23
Range	16
Interquartile range (IQR)	0.85

Descriptive statistics

Standard deviation	3.9905801
Coefficient of variation (CV)	0.39310909
Kurtosis	5.1392945
Mean	10.15133
Median Absolute Deviation (MAD)	0.4
Skewness	2.5938477
Sum	2060.72
Variance	15.924729
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
9	45	22.2%
9.4	26	12.8%
8.5	14	6.9%
9.5	12	5.9%
9.3	11	5.4%
8.7	9	4.4%
8	8	3.9%
9.2	8	3.9%
7	7	3.4%
8.6	5	2.5%
Other values (22)	58	28.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	7	3.4%
7.5	5	2.5%
7.6	4	2.0%
7.7	2	1.0%
7.8	1	0.5%
8	8	3.9%
8.1	2	1.0%
8.3	3	1.5%
8.4	5	2.5%
8.5	14	6.9%

Value	Count	Frequency (%)
23	5	2.5%
22.7	1	0.5%
22.5	3	1.5%
22	1	0.5%
21.9	1	0.5%
21.5	4	2.0%
21	5	2.5%
11.5	1	0.5%
10.1	1	0.5%
10	3	1.5%

chevaux
Real number (ℝ)

Distinct	59
Distinct (%)	29.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	104.39901

Minimum	48
Maximum	288
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	48
5-th percentile	62
Q1	70
median	95
Q3	116
95-th percentile	181.4
Maximum	288
Range	240
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	39.631013
Coefficient of variation (CV)	0.37961099
Kurtosis	2.6470236
Mean	104.39901
Median Absolute Deviation (MAD)	25
Skewness	1.3928436
Sum	21193
Variance	1570.6172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	19	9.4%
70	11	5.4%
116	9	4.4%
69	9	4.4%
110	8	3.9%
95	7	3.4%
114	6	3.0%
160	6	3.0%
101	6	3.0%
62	6	3.0%
Other values (49)	116	57.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48	1	0.5%
52	2	1.0%
55	1	0.5%
56	2	1.0%
58	1	0.5%
60	1	0.5%
62	6	3.0%
64	1	0.5%
68	19	9.4%
69	9	4.4%

Value	Count	Frequency (%)
288	1	0.5%
262	1	0.5%
207	3	1.5%
200	1	0.5%
184	2	1.0%
182	3	1.5%
176	2	1.0%
175	1	0.5%
162	2	1.0%
161	2	1.0%

tour_moteur
Real number (ℝ)

Distinct	22
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5127.8325

Minimum	4150
Maximum	6600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	4150
5-th percentile	4250
Q1	4800
median	5200
Q3	5500
95-th percentile	5990
Maximum	6600
Range	2450
Interquartile range (IQR)	700

Descriptive statistics

Standard deviation	478.5252
Coefficient of variation (CV)	0.093319195
Kurtosis	0.074796639
Mean	5127.8325
Median Absolute Deviation (MAD)	300
Skewness	0.060106102
Sum	1040950
Variance	228986.37
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
5500	37	18.2%
4800	35	17.2%
5000	27	13.3%
5200	23	11.3%
5400	13	6.4%
6000	9	4.4%
4500	7	3.4%
5800	7	3.4%
5250	7	3.4%
5100	5	2.5%
Other values (12)	33	16.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4150	5	2.5%
4200	5	2.5%
4250	3	1.5%
4350	4	2.0%
4400	3	1.5%
4500	7	3.4%
4650	1	0.5%
4750	4	2.0%
4800	35	17.2%
5000	27	13.3%

Value	Count	Frequency (%)
6600	2	1.0%
6000	9	4.4%
5900	3	1.5%
5800	7	3.4%
5750	1	0.5%
5600	1	0.5%
5500	37	18.2%
5400	13	6.4%
5300	1	0.5%
5250	7	3.4%

consommation_ville(L/100km)
Real number (ℝ)

Distinct	28
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.9831562

Minimum	4.8003061
Maximum	18.093462
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	4.8003061
5-th percentile	6.3571622
Q1	7.8405
median	9.800625
Q3	12.379737
95-th percentile	14.700938
Maximum	18.093462
Range	13.293155
Interquartile range (IQR)	4.5392368

Descriptive statistics

Standard deviation	2.5761492
Coefficient of variation (CV)	0.25804958
Kurtosis	-0.17496577
Mean	9.9831562
Median Absolute Deviation (MAD)	2.2130444
Skewness	0.5511603
Sum	2026.5807
Variance	6.6365448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
7.587580645	27	13.3%
12.37973684	27	13.3%
9.800625	22	10.8%
8.711666667	14	6.9%
13.83617647	13	6.4%
9.046730769	12	5.9%
10.22673913	12	5.9%
11.20071429	8	3.9%
9.4086	8	3.9%
7.8405	8	3.9%
Other values (18)	52	25.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.800306122	1	0.5%
5.004574468	1	0.5%
5.227	1	0.5%
6.189868421	7	3.4%
6.357162162	6	3.0%
6.53375	1	0.5%
6.720428571	1	0.5%
6.918088235	1	0.5%
7.127727273	1	0.5%
7.587580645	27	13.3%

Value	Count	Frequency (%)
18.09346154	1	0.5%
16.80107143	2	1.0%
15.681	3	1.5%
14.7009375	6	3.0%
13.83617647	13	6.4%
13.0675	3	1.5%
12.37973684	27	13.3%
11.76075	3	1.5%
11.20071429	8	3.9%
10.69159091	4	2.0%

consommation_autoroute(L/100km)
Real number (ℝ)

Distinct	30
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.0574246

Minimum	4.3558333
Maximum	14.700938
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	4.3558333
5-th percentile	5.4831404
Q1	6.9180882
median	7.8405
Q3	9.4086
95-th percentile	10.691591
Maximum	14.700938
Range	10.345104
Interquartile range (IQR)	2.4905118

Descriptive statistics

Standard deviation	1.8537383
Coefficient of variation (CV)	0.23006586
Kurtosis	1.1338208
Mean	8.0574246
Median Absolute Deviation (MAD)	1.4833378
Skewness	0.81151544
Sum	1635.6572
Variance	3.4363459
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
9.4086	19	9.4%
6.189868421	17	8.4%
9.800625	17	8.4%
7.8405	16	7.9%
7.35046875	16	7.9%
6.918088235	14	6.9%
8.400535714	13	6.4%
6.357162162	12	5.9%
8.110862069	10	4.9%
7.127727273	9	4.4%
Other values (20)	60	29.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.355833333	1	0.5%
4.438018868	1	0.5%
4.7043	1	0.5%
5.004574468	2	1.0%
5.113369565	2	1.0%
5.470116279	4	2.0%
5.600357143	3	1.5%
5.73695122	3	1.5%
6.031153846	2	1.0%
6.189868421	17	8.4%

Value	Count	Frequency (%)
14.7009375	2	1.0%
13.83617647	1	0.5%
13.0675	2	1.0%
12.37973684	2	1.0%
11.76075	2	1.0%
10.69159091	8	3.9%
10.22673913	7	3.4%
9.800625	17	8.4%
9.4086	19	9.4%
9.046730769	3	1.5%

prix
Real number (ℝ)

Distinct	187
Distinct (%)	92.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13347.2

Minimum	5151
Maximum	45400
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	5151
5-th percentile	6229
Q1	7847
median	10345
Q3	16509
95-th percentile	32500.2
Maximum	45400
Range	40249
Interquartile range (IQR)	8662

Descriptive statistics

Standard deviation	7995.7399
Coefficient of variation (CV)	0.59905745
Kurtosis	3.0206407
Mean	13347.2
Median Absolute Deviation (MAD)	3300
Skewness	1.7716934
Sum	2709481.7
Variance	63931856
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8921	2	1.0%
18150	2	1.0%
7898	2	1.0%
8916.5	2	1.0%
7775	2	1.0%
8845	2	1.0%
7295	2	1.0%
7609	2	1.0%
6692	2	1.0%
6229	2	1.0%
Other values (177)	183	90.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5151	1	0.5%
5195	1	0.5%
5348	1	0.5%
5389	1	0.5%
5399	1	0.5%
5499	1	0.5%
5572	2	1.0%
6095	1	0.5%
6189	1	0.5%
6229	2	1.0%

Value	Count	Frequency (%)
45400	1	0.5%
41315	1	0.5%
40960	1	0.5%
37028	1	0.5%
36880	1	0.5%
36000	1	0.5%
35550	1	0.5%
35056	1	0.5%
34184	1	0.5%
34028	1	0.5%

marque
Categorical

Distinct	22
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

toyota	32
nissan	18
mazda	17
mitsubishi	13
honda	13
Other values (17)	110

Length

Max length	10
Median length	9
Mean length	6.2068966
Min length	3

Characters and Unicode

Total characters	1260
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	alfa-romeo
2nd row	alfa-romeo
3rd row	alfa-romeo
4th row	audi
5th row	audi

Common Values

Value	Count	Frequency (%)
toyota	32	15.8%
nissan	18	8.9%
mazda	17	8.4%
mitsubishi	13	6.4%
honda	13	6.4%
volkswagen	12	5.9%
peugeot	11	5.4%
volvo	11	5.4%
subaru	10	4.9%
dodge	9	4.4%
Other values (12)	57	28.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
toyota	32	15.8%
nissan	18	8.9%
mazda	17	8.4%
mitsubishi	13	6.4%
honda	13	6.4%
volkswagen	12	5.9%
peugeot	11	5.4%
volvo	11	5.4%
subaru	10	4.9%
dodge	9	4.4%
Other values (12)	57	28.1%

Most occurring characters

Value	Count	Frequency (%)
a	152	12.1%
o	152	12.1%
t	100	7.9%
s	99	7.9%
u	80	6.3%
i	76	6.0%
n	63	5.0%
e	60	4.8%
d	55	4.4%
m	49	3.9%
Other values (15)	374	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1257	99.8%
Dash Punctuation	3	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	152	12.1%
o	152	12.1%
t	100	8.0%
s	99	7.9%
u	80	6.4%
i	76	6.0%
n	63	5.0%
e	60	4.8%
d	55	4.4%
m	49	3.9%
Other values (14)	371	29.5%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1257	99.8%
Common	3	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	152	12.1%
o	152	12.1%
t	100	8.0%
s	99	7.9%
u	80	6.4%
i	76	6.0%
n	63	5.0%
e	60	4.8%
d	55	4.4%
m	49	3.9%
Other values (14)	371	29.5%

Common

Value	Count	Frequency (%)
-	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1260	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	152	12.1%
o	152	12.1%
t	100	7.9%
s	99	7.9%
u	80	6.3%
i	76	6.0%
n	63	5.0%
e	60	4.8%
d	55	4.4%
m	49	3.9%
Other values (15)	374	29.7%

modele
Categorical

HIGH CARDINALITY UNIFORM

Distinct	140
Distinct (%)	69.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

504	6
corolla	6
corona	6
dl	4
civic	3
Other values (135)	178

Length

Max length	22
Median length	16
Mean length	6.6748768
Min length	2

Characters and Unicode

Total characters	1355
Distinct characters	44
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	101 ?
Unique (%)	49.8%

Sample

1st row	giulia
2nd row	stelvio
3rd row	Quadrifoglio
4th row	100ls
5th row	100ls

Common Values

Value	Count	Frequency (%)
504	6	3.0%
corolla	6	3.0%
corona	6	3.0%
dl	4	2.0%
civic	3	1.5%
markii	3	1.5%
rabbit	3	1.5%
g4	3	1.5%
outlander	3	1.5%
mirageg4	3	1.5%
Other values (130)	163	80.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
504	6	3.0%
corona	6	3.0%
corolla	6	3.0%
dl	4	2.0%
mirageg4	3	1.5%
626	3	1.5%
glcdeluxe	3	1.5%
dasher	3	1.5%
100ls	3	1.5%
outlander	3	1.5%
Other values (130)	163	80.3%

Most occurring characters

Value	Count	Frequency (%)
c	108	8.0%
a	107	7.9%
l	103	7.6%
r	100	7.4%
e	100	7.4%
o	93	6.9%
i	71	5.2%
t	67	4.9%
s	54	4.0%
0	44	3.2%
Other values (34)	508	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1128	83.2%
Decimal Number	179	13.2%
Close Punctuation	13	1.0%
Open Punctuation	13	1.0%
Uppercase Letter	12	0.9%
Dash Punctuation	10	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	108	9.6%
a	107	9.5%
l	103	9.1%
r	100	8.9%
e	100	8.9%
o	93	8.2%
i	71	6.3%
t	67	5.9%
s	54	4.8%
u	41	3.6%
Other values (15)	284	25.2%

Decimal Number

Value	Count	Frequency (%)
0	44	24.6%
4	37	20.7%
1	23	12.8%
2	21	11.7%
5	18	10.1%
9	12	6.7%
6	12	6.7%
3	10	5.6%
7	2	1.1%

Uppercase Letter

Value	Count	Frequency (%)
M	4	33.3%
D	3	25.0%
V	1	8.3%
C	1	8.3%
Q	1	8.3%
U	1	8.3%
X	1	8.3%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1140	84.1%
Common	215	15.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	108	9.5%
a	107	9.4%
l	103	9.0%
r	100	8.8%
e	100	8.8%
o	93	8.2%
i	71	6.2%
t	67	5.9%
s	54	4.7%
u	41	3.6%
Other values (22)	296	26.0%

Common

Value	Count	Frequency (%)
0	44	20.5%
4	37	17.2%
1	23	10.7%
2	21	9.8%
5	18	8.4%
)	13	6.0%
(	13	6.0%
9	12	5.6%
6	12	5.6%
3	10	4.7%
Other values (2)	12	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1355	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	108	8.0%
a	107	7.9%
l	103	7.6%
r	100	7.4%
e	100	7.4%
o	93	6.9%
i	71	5.2%
t	67	4.9%
s	54	4.0%
0	44	3.2%
Other values (34)	508	37.5%

Auto

Heatmap
Table

	car_ID	niveau_risque_assurance	empattement(cm)	longueur_voiture(cm)	largeur_voiture(cm)	hauteur_voiture(cm)	poids_vehicule(kg)	taille_moteur	taux_alésage(cm)	course_piston(cm)	taux_compression	chevaux	tour_moteur	consommation_ville(L/100km)	consommation_autoroute(L/100km)	prix	carburant	turbo	nombre_portes	type_vehicule	roues_motrices	emplacement_moteur	type_moteur	nombre_cylindres	systeme_carburant	marque
car_ID	1.000	-0.157	0.201	0.163	0.157	0.267	0.131	0.094	0.263	-0.163	0.149	0.012	-0.224	-0.047	-0.016	0.030	0.287	0.260	0.346	0.179	0.424	0.332	0.406	0.279	0.386	0.810
niveau_risque_assurance	-0.157	1.000	-0.537	-0.394	-0.250	-0.527	-0.258	-0.175	-0.175	-0.022	0.029	-0.006	0.283	0.019	-0.053	-0.143	0.219	0.181	0.682	0.334	0.266	0.271	0.221	0.160	0.269	0.442
empattement(cm)	0.201	-0.537	1.000	0.912	0.811	0.636	0.766	0.646	0.551	0.218	-0.131	0.501	-0.317	0.493	0.538	0.682	0.342	0.308	0.437	0.333	0.392	0.568	0.344	0.316	0.225	0.501
longueur_voiture(cm)	0.163	-0.394	0.912	1.000	0.887	0.529	0.891	0.780	0.659	0.176	-0.194	0.657	-0.277	0.669	0.697	0.804	0.104	0.206	0.362	0.239	0.409	0.000	0.315	0.356	0.326	0.499
largeur_voiture(cm)	0.157	-0.250	0.811	0.887	1.000	0.353	0.865	0.770	0.635	0.228	-0.149	0.686	-0.207	0.688	0.701	0.811	0.232	0.322	0.232	0.116	0.407	0.159	0.372	0.568	0.234	0.520
hauteur_voiture(cm)	0.267	-0.527	0.636	0.529	0.353	1.000	0.346	0.198	0.219	-0.032	0.004	0.008	-0.300	0.064	0.129	0.241	0.311	0.283	0.567	0.488	0.344	0.197	0.348	0.299	0.286	0.485
poids_vehicule(kg)	0.131	-0.258	0.766	0.891	0.865	0.346	1.000	0.877	0.720	0.150	-0.216	0.806	-0.245	0.811	0.832	0.909	0.303	0.374	0.276	0.230	0.454	0.097	0.325	0.482	0.290	0.492
taille_moteur	0.094	-0.175	0.646	0.780	0.770	0.198	0.877	1.000	0.715	0.287	-0.233	0.815	-0.281	0.729	0.719	0.826	0.155	0.268	0.208	0.201	0.467	0.618	0.527	0.642	0.331	0.531
taux_alésage(cm)	0.263	-0.175	0.551	0.659	0.635	0.219	0.720	0.715	1.000	-0.055	-0.173	0.662	-0.284	0.638	0.636	0.675	0.256	0.393	0.138	0.172	0.465	0.354	0.385	0.323	0.282	0.512
course_piston(cm)	-0.163	-0.022	0.218	0.176	0.228	-0.032	0.150	0.287	-0.055	1.000	-0.079	0.121	-0.089	0.015	0.018	0.088	0.380	0.271	0.120	0.165	0.356	0.618	0.404	0.248	0.308	0.623
taux_compression	0.149	0.029	-0.131	-0.194	-0.149	0.004	-0.216	-0.233	-0.173	-0.079	1.000	-0.353	-0.015	-0.477	-0.443	-0.172	0.993	0.553	0.187	0.047	0.111	0.000	0.336	0.521	0.518	0.491
chevaux	0.012	-0.006	0.501	0.657	0.686	0.008	0.806	0.815	0.662	0.121	-0.353	1.000	0.107	0.911	0.884	0.854	0.221	0.341	0.164	0.188	0.400	0.843	0.518	0.564	0.317	0.458
tour_moteur	-0.224	0.283	-0.317	-0.277	-0.207	-0.300	-0.245	-0.281	-0.284	-0.089	-0.015	0.107	1.000	0.122	0.050	-0.077	0.594	0.310	0.239	0.071	0.246	0.447	0.362	0.282	0.363	0.472
consommation_ville(L/100km)	-0.047	0.019	0.493	0.669	0.688	0.064	0.811	0.729	0.638	0.015	-0.477	0.911	0.122	1.000	0.968	0.828	0.312	0.186	0.119	0.075	0.386	0.363	0.338	0.497	0.316	0.403
consommation_autoroute(L/100km)	-0.016	-0.053	0.538	0.697	0.701	0.129	0.832	0.719	0.636	0.018	-0.443	0.884	0.050	0.968	1.000	0.822	0.361	0.298	0.170	0.179	0.434	0.231	0.345	0.514	0.336	0.380
prix	0.030	-0.143	0.682	0.804	0.811	0.241	0.909	0.826	0.675	0.088	-0.172	0.854	-0.077	0.828	0.822	1.000	0.329	0.404	0.000	0.229	0.444	0.450	0.285	0.430	0.287	0.377
carburant	0.287	0.219	0.342	0.104	0.232	0.311	0.303	0.155	0.256	0.380	0.993	0.221	0.594	0.312	0.361	0.329	1.000	0.373	0.161	0.174	0.085	0.000	0.247	0.154	0.985	0.368
turbo	0.260	0.181	0.308	0.206	0.322	0.283	0.374	0.268	0.393	0.271	0.553	0.341	0.310	0.186	0.298	0.404	0.373	1.000	0.000	0.000	0.114	0.000	0.146	0.196	0.609	0.410
nombre_portes	0.346	0.682	0.437	0.362	0.232	0.567	0.276	0.208	0.138	0.120	0.187	0.164	0.239	0.119	0.170	0.000	0.161	0.000	1.000	0.739	0.051	0.068	0.202	0.135	0.246	0.305
type_vehicule	0.179	0.334	0.333	0.239	0.116	0.488	0.230	0.201	0.172	0.165	0.047	0.188	0.071	0.075	0.179	0.229	0.174	0.000	0.739	1.000	0.212	0.438	0.145	0.067	0.144	0.321
roues_motrices	0.424	0.266	0.392	0.409	0.407	0.344	0.454	0.467	0.465	0.356	0.111	0.400	0.246	0.386	0.434	0.444	0.085	0.114	0.051	0.212	1.000	0.123	0.442	0.334	0.385	0.621
emplacement_moteur	0.332	0.271	0.568	0.000	0.159	0.197	0.097	0.618	0.354	0.618	0.000	0.843	0.447	0.363	0.231	0.450	0.000	0.000	0.068	0.438	0.123	1.000	0.436	0.287	0.000	0.702
type_moteur	0.406	0.221	0.344	0.315	0.372	0.348	0.325	0.527	0.385	0.404	0.336	0.518	0.362	0.338	0.345	0.285	0.247	0.146	0.202	0.145	0.442	0.436	1.000	0.546	0.375	0.626
nombre_cylindres	0.279	0.160	0.316	0.356	0.568	0.299	0.482	0.642	0.323	0.248	0.521	0.564	0.282	0.497	0.514	0.430	0.154	0.196	0.135	0.067	0.334	0.287	0.546	1.000	0.373	0.543
systeme_carburant	0.386	0.269	0.225	0.326	0.234	0.286	0.290	0.331	0.282	0.308	0.518	0.317	0.363	0.316	0.336	0.287	0.985	0.609	0.246	0.144	0.385	0.000	0.375	0.373	1.000	0.508
marque	0.810	0.442	0.501	0.499	0.520	0.485	0.492	0.531	0.512	0.623	0.491	0.458	0.472	0.403	0.380	0.377	0.368	0.410	0.305	0.321	0.621	0.702	0.626	0.543	0.508	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	car_ID	niveau_risque_assurance	carburant	turbo	nombre_portes	type_vehicule	roues_motrices	emplacement_moteur	empattement(cm)	longueur_voiture(cm)	largeur_voiture(cm)	hauteur_voiture(cm)	poids_vehicule(kg)	type_moteur	nombre_cylindres	taille_moteur	systeme_carburant	taux_alésage(cm)	course_piston(cm)	taux_compression	chevaux	tour_moteur	consommation_ville(L/100km)	consommation_autoroute(L/100km)	prix	marque	modele
0	1	3	gas	std	two	décapotable	propulsion	front	225.0	428.8	162.8	124.0	1155.8	dohc	four	130	mpfi	8.8	6.8	9.0	111	5000	11.200714	8.711667	13495.000	alfa-romeo	giulia
1	2	3	gas	std	two	décapotable	propulsion	front	225.0	428.8	162.8	124.0	1155.8	dohc	four	130	mpfi	8.8	6.8	9.0	111	5000	11.200714	8.711667	16500.000	alfa-romeo	stelvio
2	3	1	gas	std	two	hayon	propulsion	front	240.0	434.8	166.4	133.1	1280.5	ohcv	six	152	mpfi	6.8	8.8	9.0	154	5000	12.379737	9.046731	16500.000	alfa-romeo	Quadrifoglio
3	4	2	gas	std	four	berline	traction	front	253.5	448.6	168.1	137.9	1060.0	ohc	four	109	mpfi	8.1	8.6	10.0	102	5500	9.800625	7.840500	13950.000	audi	100ls
4	5	2	gas	std	four	berline	quatre_roues_motrices	front	252.5	448.6	168.7	137.9	1280.9	ohc	five	136	mpfi	8.1	8.6	8.0	115	5500	13.067500	10.691591	17450.000	audi	100ls
5	6	2	gas	std	two	berline	traction	front	253.5	450.3	168.4	134.9	1137.2	ohc	five	136	mpfi	8.1	8.6	8.5	110	5500	12.379737	9.408600	15250.000	audi	fox
6	7	1	gas	std	four	berline	traction	front	268.7	489.5	181.4	141.5	1290.0	ohc	five	136	mpfi	8.1	8.6	8.5	110	5500	12.379737	9.408600	17710.000	audi	100ls
7	8	1	gas	std	four	break	traction	front	268.7	489.5	181.4	141.5	1339.9	ohc	five	136	mpfi	8.1	8.6	8.5	110	5500	12.379737	9.408600	18920.000	audi	5000
8	9	1	gas	turbo	four	berline	traction	front	268.7	489.5	181.4	142.0	1399.8	ohc	five	131	mpfi	8.0	8.6	8.3	140	5500	13.836176	11.760750	23875.000	audi	4000
9	10	0	gas	turbo	two	hayon	quatre_roues_motrices	front	252.7	452.6	172.5	132.1	1384.8	ohc	five	131	mpfi	8.0	8.6	7.0	160	5500	14.700938	10.691591	17859.167	audi	5000s(diesel)

	car_ID	niveau_risque_assurance	carburant	turbo	nombre_portes	type_vehicule	roues_motrices	emplacement_moteur	empattement(cm)	longueur_voiture(cm)	largeur_voiture(cm)	hauteur_voiture(cm)	poids_vehicule(kg)	type_moteur	nombre_cylindres	taille_moteur	systeme_carburant	taux_alésage(cm)	course_piston(cm)	taux_compression	chevaux	tour_moteur	consommation_ville(L/100km)	consommation_autoroute(L/100km)	prix	marque	modele
193	196	-1	gas	std	four	break	propulsion	front	264.9	479.6	170.7	146.0	1376.2	ohc	four	141	mpfi	9.6	8.0	9.5	114	5400	10.226739	8.400536	13415.0	volvo	144ea
194	197	-2	gas	std	four	berline	propulsion	front	264.9	479.6	170.7	142.7	1331.3	ohc	four	141	mpfi	9.6	8.0	9.5	114	5400	9.800625	8.400536	15985.0	volvo	244dl
195	198	-1	gas	std	four	break	propulsion	front	264.9	479.6	170.7	146.0	1379.8	ohc	four	141	mpfi	9.6	8.0	9.5	114	5400	9.800625	8.400536	16515.0	volvo	245
196	199	-2	gas	turbo	four	berline	propulsion	front	264.9	479.6	170.7	142.7	1381.2	ohc	four	130	mpfi	9.2	8.0	7.5	162	5100	13.836176	10.691591	18420.0	volvo	264gl
197	200	-1	gas	turbo	four	break	propulsion	front	264.9	479.6	170.7	146.0	1432.0	ohc	four	130	mpfi	9.2	8.0	7.5	162	5100	13.836176	10.691591	18950.0	volvo	diesel
198	201	-1	gas	std	four	berline	propulsion	front	277.1	479.6	175.0	141.0	1339.0	ohc	four	141	mpfi	9.6	8.0	9.5	114	5400	10.226739	8.400536	16845.0	volvo	145e(sw)
199	202	-1	gas	turbo	four	berline	propulsion	front	277.1	479.6	174.8	141.0	1383.0	ohc	four	141	mpfi	9.6	8.0	8.7	160	5300	12.379737	9.408600	19045.0	volvo	144ea
200	203	-1	gas	std	four	berline	propulsion	front	277.1	479.6	175.0	141.0	1366.2	ohcv	six	173	mpfi	9.1	7.3	8.8	134	5500	13.067500	10.226739	21485.0	volvo	244dl
201	204	-1	diesel	turbo	four	berline	propulsion	front	277.1	479.6	175.0	141.0	1459.2	ohc	six	145	idi	7.6	8.6	23.0	106	4800	9.046731	8.711667	22470.0	volvo	246
202	205	-1	gas	turbo	four	berline	propulsion	front	277.1	479.6	175.0	141.0	1388.9	ohc	four	141	mpfi	9.6	8.0	9.5	114	5400	12.379737	9.408600	22625.0	volvo	264gl

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin